high performance computing on graphics processing units: hgpu.org

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Efficiency analysis of a physical problem: Different parallel computational approaches for a dynamical integrator evolution

Adriana Gaudiani, Alejandro Soba, M. Florencia Carusela

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Tags: Algorithms, Computer science, CUDA, MPI, nVidia, nVidia GeForce GTX 560 Ti, Performance

December 25, 2013 by hgpu

Graphics Processing Units in Acceleration of Bandwidth Selection for Kernel Density Estimation

Witold Andrzejewski, Artur Gramacki, Jaroslaw Gramacki

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Tags: Algorithms, CUDA, nVidia, nVidia GeForce GTX 480, Package, Probability, Statistics

December 24, 2013 by hgpu

Scene Boundary Detection Technique Based on Bottom-Up Attention System and OpenCL Parallel Implementation

S. Axyonov, D. Kovalenko, I. Potapyev

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Tags: Algorithms, ATI, ATI Radeon HD 5850 M, Computer vision, Image processing, OpenCL

December 24, 2013 by hgpu

Hardware Acceleration Technologies in Computer Algebra: Challenges and Impact

Sardar Anisul Haque

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Sorting, Sparse matrix, Tesla C2050, Tesla M2050, Thesis

December 23, 2013 by hgpu

Fast Training of Convolutional Networks through FFTs

Michael Mathieu, Mikael Henaff, Yann LeCun

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Tags: Algorithms, Computer science, Computer vision, CUDA, FFT, Machine learning, nVidia

December 23, 2013 by hgpu

Speed-Up Improvement Using Parallel Approach in Image Steganography

JyothiUpadhya K, U Dinesh Acharya, Hemalatha S

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce GT 640, OpenCL

December 22, 2013 by hgpu

Accelerating Pairwise DNA Sequence Alignment using the CUDA Compatible GPU

H. Khaled, R. El Gohary, N. L. Badr, H. M. Faheem

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GT 540 M, Sequence alignment, Smith-Waterman algorithm

December 22, 2013 by hgpu

GPU Accelerated Graph SLAM and Occupancy Voxel Based ICP For Encoder-Free Mobile Robots

Adrian Ratter, Claude Sammut, Matthew McGill

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 570

December 21, 2013 by hgpu

Parallel Compact Genetic Algorithm on CUDA-C Platform

Vuppuluri Sumati

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Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, Genetic programming, nVidia

December 21, 2013 by hgpu

Design and Optimization of OpenFOAM-based CFD Applications for Modern Hybrid and Heterogeneous HPC Platforms

Amani AlOnazi

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Tags: Algorithms, Conjugate gradient solver, CUDA, Fluid dynamics, Heterogeneous systems, Laplace and Poisson equation, Linear Algebra, MPI, Numerical simulation, nVidia, Tesla C2050, Thesis

December 21, 2013 by hgpu

Pannotia: Understanding Irregular GPGPU Graph Applications

Shuai Che, Bradford M. Beckmann, Steven K. Reinhardt, Kevin Skadron

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Tags: Algorithms, ATI, ATI Radeon HD 7950, Computer science, OpenCL

December 20, 2013 by hgpu

Adapting the GA Approach to Solve Traveling Salesman Problems on CUDA Architecture

Ugur Cekmez, Mustafa Ozsiginan, Ozgur Koray Sahingoz

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 740 M, Path problems, Vehicular traffic

December 20, 2013 by hgpu

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

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high performance computing on graphics processing units: hgpu.org

Efficiency analysis of a physical problem: Different parallel computational approaches for a dynamical integrator evolution

Graphics Processing Units in Acceleration of Bandwidth Selection for Kernel Density Estimation

Scene Boundary Detection Technique Based on Bottom-Up Attention System and OpenCL Parallel Implementation

Hardware Acceleration Technologies in Computer Algebra: Challenges and Impact

Fast Training of Convolutional Networks through FFTs

Speed-Up Improvement Using Parallel Approach in Image Steganography

Accelerating Pairwise DNA Sequence Alignment using the CUDA Compatible GPU

GPU Accelerated Graph SLAM and Occupancy Voxel Based ICP For Encoder-Free Mobile Robots

Parallel Compact Genetic Algorithm on CUDA-C Platform

Design and Optimization of OpenFOAM-based CFD Applications for Modern Hybrid and Heterogeneous HPC Platforms

Pannotia: Understanding Irregular GPGPU Graph Applications

Adapting the GA Approach to Solve Traveling Salesman Problems on CUDA Architecture

Recent source codes

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

ROCm's implementation of Gromacs

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

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